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Principal Engineer, Data Analytics Engineering [ 8+ years ] (Java/Python | Kafka | Kubernetes)

Reads like a Data Engineer role: pipelines and data infrastructure.

Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Architect end-to-end solutions and lead teams by example

  • Design, build and support analytics platforms in Java and/or Python

  • Design, build and support batch and streaming data pipelines

  • Develop AI-enabled assistants, chatbots, and automation solutions

  • Deploy and support applications on Kubernetes/Edge using GitOps and CI/CD

From the employer’s posting
Architect end-to-end solutions, lead teams by example
Design, build and support platform for customer analytical needs using Java and/or Python
Design, build and support batch processing and streaming data pipelines
Design, develop, and support AI-enabled assistants, chatbots, and automation solutions
Deploy and support applications on Kubernetes/Edge platforms, using GitOps and CI/CD pipelines

What you’ll bring

All qualifications

Core experience

  • Bachelor's or Master's in Computer Science or Software Engineering
  • 8+ years of experience
  • Proficient in Java and/or Python
  • Experience with SQL/NoSQL databases and big data tools like Hadoop, Hive
  • Familiarity with agentic AI concepts and Model Context Protocol (MCP)

Preferred experience

  • Experience with Cloud Platforms like AWS, GCP and Azure
  • Proficient in architect and designing batch processing and streaming data pipelines using Spark, Kafka
  • Excellent communication, analytical and problem solving skills
Qualification wording
Bachelor’s or Master’s Degree in Computer Science or Software Engineering
minimum of 8+ years of experience
Proficient in programming languages like Java And/or Python
Experience with Database Technologies (SQL/NoSQL) & Big Data Technologies (Hadoop, Hive)
Familiarity with agentic AI concepts such as tool usage, multi-step orchestration, and Model Context Protocol (MCP)
Experience with Cloud Platforms like AWS, GCP and Azure
Proficient in architect and designing batch processing and streaming data pipelines using Spark, Kafka
Excellent communication, analytical and problem solving skills
Education & alternatives
Required Qualifications - Bachelor’s or Master’s Degree in Computer Science or Software Engineering with a minimum of 8+ years of experience. - Proficient in computer science fundamentals, algorithms & data structures
Apply at Western Digital

Posting record

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Status in our records
Live
First seen by us
Oct 23, 202621 days ago
Recorded sightings
62
Last seen by us
Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 21

Similar jobs usually come down between day 6 and day 56.

At Western Digital, jobs usually come down by about day 14.

From 13,657 similar postings that came down, and 60 of Western Digital’s. Coming down is not always a hire.

Western Digital is hiring

14 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
  • Takes jobs down quickly
  • 57% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Python
  • SQL
  • AWS
  • Azure
  • GCP
  • Hadoop
  • Hive
  • Kafka
  • Kubernetes
  • NoSQL
  • Spark
Where the posting names them
- Architect end-to-end solutions, lead teams by example and work with cross functional stakeholders to productise the solutions. - Design, build and support platform for customer analytical needs using Java and/or Python as programming language - Design, build and support batch processing and streaming data pipelines
- Proficient in computer science fundamentals, algorithms & data structures - Proficient in programming languages like Java And/or Python - Experience with Database Technologies (SQL/NoSQL) & Big Data Technologies (Hadoop, Hive)
- Design, develop, and support AI-enabled assistants, chatbots, and automation solutions - Develop Python-based automation services, REST APIs, and backend integrations to connect AI/automation solutions with enterprise systems, including MCP-based tool integrations. - Deploy and support applications on Kubernetes/Edge platforms, using GitOps and CI/CD pipelines
- Proficient in programming languages like Java And/or Python - Experience with Database Technologies (SQL/NoSQL) & Big Data Technologies (Hadoop, Hive) - Familiarity with agentic AI concepts such as tool usage, multi-step orchestration, and Model Context Protocol (MCP) for integrating AI systems with enterprise tools and services.
Preferred Qualifications - Experience with Cloud Platforms like AWS, GCP and Azure - Proficient in architect and designing batch processing and streaming data pipelines using Spark, Kafka
- Experience with Cloud Platforms like AWS, GCP and Azure - Proficient in architect and designing batch processing and streaming data pipelines using Spark, Kafka - Familiar with working in an agile software development framework with test driven development approaches
- Develop Python-based automation services, REST APIs, and backend integrations to connect AI/automation solutions with enterprise systems, including MCP-based tool integrations. - Deploy and support applications on Kubernetes/Edge platforms, using GitOps and CI/CD pipelines - Work with cross functional stakeholders to understand their requirements

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About Western Digital

People
About 40,000 in 2026, about the same as the year before.Annual report (SEC Form 10-K)
Company
Listed as WDC.

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Description

  • Architect end-to-end solutions, lead teams by example and work with cross functional stakeholders to productise the solutions.  
  • Design, build and support platform for customer analytical needs using Java and/or Python as programming language
  • Design, build and support batch processing and streaming data pipelines
  • Design, develop, and support AI-enabled assistants, chatbots, and automation solutions
  • Develop Python-based automation services, REST APIs, and backend integrations to connect AI/automation solutions with enterprise systems, including MCP-based tool integrations.
  • Deploy and support applications on Kubernetes/Edge platforms, using GitOps and CI/CD pipelines
  • Work with cross functional stakeholders to understand their requirements
  • Guide team members overcome technical challenges

Qualifications

Required Qualifications

  • Bachelor’s or Master’s Degree in Computer Science or Software Engineering with a minimum of 8+ years of experience.
  • Proficient in computer science fundamentals, algorithms & data structures
  • Proficient in programming languages like Java And/or Python
  • Experience with Database Technologies (SQL/NoSQL) & Big Data Technologies (Hadoop, Hive)
  • Familiarity with agentic AI concepts such as tool usage, multi-step orchestration, and Model Context Protocol (MCP) for integrating AI systems with enterprise tools and services.

Preferred Qualifications

  • Experience with Cloud Platforms like AWS, GCP and Azure
  • Proficient in architect and designing batch processing and streaming data pipelines using Spark, Kafka
  • Familiar with working in an agile software development framework with test driven development approaches
  • Excellent communication, analytical and problem solving skills

Additional Information

WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email compliance@wdc.com.

Company Description

WD is building the infrastructure behind the AI-driven data economy.

As AI scales, so does data. Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time. That’s where we come in.

We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.

This isn’t theoretical work. It’s real systems, at real scale, people solving some of the hardest challenges in technology today.

We’re looking for people who want to build, solve, and operate at that level.

Join us and let’s shape the future of data.

Source details

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Location & working pattern

Bengaluru, KA, India

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